Error message

  • Deprecated function: Creation of dynamic property MergeQuery::$condition is deprecated in MergeQuery->__construct() (line 1357 of /webdata/web/html/includes/database/query.inc).
  • Deprecated function: Creation of dynamic property DatabaseCondition::$stringVersion is deprecated in DatabaseCondition->compile() (line 1887 of /webdata/web/html/includes/database/query.inc).
  • Deprecated function: Creation of dynamic property DatabaseCondition::$stringVersion is deprecated in DatabaseCondition->compile() (line 1887 of /webdata/web/html/includes/database/query.inc).
  • Deprecated function: Creation of dynamic property DatabaseCondition::$stringVersion is deprecated in DatabaseCondition->compile() (line 1887 of /webdata/web/html/includes/database/query.inc).
  • Deprecated function: Creation of dynamic property DatabaseCondition::$stringVersion is deprecated in DatabaseCondition->compile() (line 1887 of /webdata/web/html/includes/database/query.inc).

IEEE Trans Med Imaging. 1998 Apr;17(2):303-10 doi: 10.1109/42.700743.

Precise segmentation of the lateral ventricles and caudate nucleus in MR brain images using anatomically driven histograms

Worth AJ, Makris N, Patti MR, Goodman JM, Hoge EA, Caviness VS Jr, Kennedy DN.

Abstract

This paper demonstrates a time-saving, automated method that helps to segment the lateral ventricles and caudate nucleus in T1-weighted coronal magnetic resonance (MR) brain images of normal control subjects. The method involves choosing intensity thresholds by using anatomical information and by locating peaks in histograms. To validate the method, the lateral ventricles and caudate nucleus were segmented in three brain scans by four experts, first using an established method involving isointensity contours and manual editing, and second using automatically generated intensity thresholds as an aid to the established method. The results demonstrate both time savings and increased reliability.

PMID: 9688163
| MGH/HST Martinos Center for Biomedical Imaging

Error

The website encountered an unexpected error. Please try again later.